5 Steps to Creating an Effective Marketing Strategy in 2022

What is Marketing Strategy?

As a business owner, you would always want more success. 

But making a brand visible and strategically positioning the brand is not an easy task.  

Unless you have an effective Marketing Strategy. 

Effective marketing strategies take into consideration all aspects of the marketing flow. From finding the right marketing channel to defining a marketing budget and much more; a marketing strategy works well when you take a holistic approach.

In this blog post, you’ll learn how to develop a winning marketing strategy. 

Let’s dive in.

Overview

Start with Market Research

market-research

Would you create and launch a product without studying the demand in the marketplace? No right? In the same way, your marketing strategy should be based on data and not assumptions. Your market research data does not have to be exhaustive but you need to capture the data accurately to understand the market.

Effective market research can broadly be categorized into Qualitative and Quantitative research.

In qualitative research, you begin by finding out what your potential consumers want and “why” they would need your product. If your potential consumers are mostly offline, you could create focus groups or interview consumers to find out what they are looking for. If you are selling something online, you could conduct surveys or use behavior analytics tools, to know what they are looking for. Social media, industry-specific forums and other online communities are also places to scout what your audience needs. 

Quantitative market provides data around the questions “what, who, how much, and how many”. Again, surveys are the best way to conduct quantitative market research. Be survey to target people who would qualify as your potential customers but try not to narrow down the list. 

Analyze the Competition

competition-analysis

Focus on the 4Ps of marketing mix while performing a competitor analysis. The four P’s of marketing mix are: product, place, promotion, and price. It is crucial to find out who your competitors are, the competitor’s history, location, company size, what they sell and their target audience and how are they positioning. Understanding your competitor’s marketing channels and communication strategies and performing a SWOT analysis will help you understand how you could position yourself. You could create a competition grid to compare and contrast your competitors. 

Define Your Target Market

target-market

Your next step would be in identifying every segment of audience who would resonate with your marketing whether they buy the products or don’t. Targeting everyone is just like shooting in the air without an aim.  A target market is a segment of customers within a selected demographic who are identified as the most likely buyers of your product. Knowing your ideal target segments includes identifying those where you can make the most money given the resources available. Also do bear in mind the possible influencers within the demographic who could be influential in your marketing. When you redefine your strategy, you’ll have to also consider the trade-offs, which is that some current customers will inevitably leave for competitors.

The following are some questions to ask when defining the target market:

  • What are the characteristics of your target demographic? Eg., age group, location, gender etc.,
  • What are their behaviors? 
  • What are their interests?
  • What are their purchase behaviors? 
  • How do they make purchase decisions?
  • How much do they earn?
  • What is the best way to communicate with the target market?
  • What are their challenges?
  • How can your product or service help them with the challenges?
  • Why would they choose not to purchase? What are the objections?

Brand Positioning

brand-positioning

Next comes identifying how you want your target market to perceive your brand. Deciding on brand positioning involves identifying how you want to be remembered by your potential customers. It also involves identifying the unique qualities that would differentiate your brand from competitors. For example: the brand positioning of McDonalds is to be perceived as low-priced, quality burgers delivered quickly. 

The power of brand positioning lies in communicating how you want to be perceived, consistently throughout all marketing channels. If you fail to do this, you could seldom find success as your marketing message will not stand distinctive. To decide on brand positioning you need to take into account the three aspects of positioning namely; Company, Customers and Competitors. By putting all the data that you’ve arrived at in the previous steps, you now need to come up with messages that are clear, relevant, unique, achievable, and sustainable. While this process may seem simple, you need to brainstorm a lot of ideas to get a clear positioning message. If you target multiple segments, your target audience may have different behaviors and needs. Hence, you’ll need to define a separate brand positioning strategy for each target segment to make sure that you appeal to them.

Develop Your Brand Voice

brand-voice

Now that you’ve decided on how to position your brand in the market, it is time to define the foundations on which your brand will be built. The most typical brand code is the logo and visual elements. Your brand code should be unique, distinctive and memorable. When it comes to defining your brand voice there is no limit to your creativity. Make sure to create a brand voice document and share it with your teams so the underlying message and visuals stay consistent at all times. It is a good idea to revisit your brand voice document and pivot accordingly as your business grows.

How to Evaluate Your Marketing Success

Measuring anything is the key to improving any process. The following are the most common Key Performance Indicators (KPI) that  you should measure for your campaigns, irrespective of the marketing type, channel or medium:

Return on Investment (ROI)

Well, this is obvious. Return on Investment measures the sales revenue generated as a result of a marketing campaign. This is the most crucial KPI to measure the effectiveness of any marketing campaign. Tracking ROI will also give you insights on the quality of leads that you have received for a campaign. 

Cost per Sale

Cost per Win  (or) Cost per Sale measures the expense of each sale. Tracking this metric will help you in identifying and taking steps to reduce costs to increase profit and optimize productivity.

Cost per Lead

A lead is someone who has expressed interest in your product or service either by subscribing to a free trial or filling an enquiry form or some other way. Cost per Lead metric shows how cost-effective your marketing campaigns are in generating new leads. 

Conversion Rate 

Conversion rate is the percentage of visitors to your website that complete the desired action. To improve your conversion rate, it is important to optimize your site for conversion by A/B testing, using high-quality images, strong call-to-action buttons and so on.

Customer Lifetime Value

Customer Lifetime Value is the average sale per customer multiplied by the average number of purchases by a customer per year and the average retention years of a customer. This data will help you measure customer retention metrics and on how to devise marketing strategies to target your best customers. 

Final Thoughts

Creating a viable marketing strategy is crucial for long-term success. Having a reliable partner to support you on your marketing efforts is paramount. At SolutionChamps, we have years of experience in digital marketing and offline marketing. Let’s get in touch to discuss your marketing goals and elevate your business. 

AI Use Cases in Healthcare

Medical science is experiencing a huge paradigm shift. We are witnessing some early adopters embrace AI and machine learning to get insights from patients’ data. Many organizations are looking for sustainable ways to dig out raw data and put it to good use. 

According to Forbes, healthcare is one of the top 16 industries that would see rapid growth in 2022 and beyond. The AI healthcare market is expected to grow to $194.14 billion by 2030.   From the early interpretation of patient symptoms for a quick diagnosis to robotic surgeries, AI is rapidly being implemented in the healthcare industry. 

In this blog, let’s look at some of the top AI applications or use cases in healthcare.

Overview

AI Chatbots for Clinical Diagnosis

Robot handshake human background, futuristic digital age

Did you know that 2 out of 5 people misdiagnose their symptoms by searching their symptoms online? Hospitals can use chatbots as a good start point in engaging with patients. An AI-based chatbot with machine learning algorithms and natural language processing techniques can be trained to evaluate a patient by prompting a series of questions regarding the symptoms. An extensive list of symptoms and diagnostic steps from trusted clinicians can be a part of the algorithm to make an initial diagnosis. Healthily and Mediktor are good examples of AI-based popular symptom checkers. The AI chatbots can handle patients’ queries on matters as simple as billing, appointments, or medication refills or as complex as suggesting a diagnosis. 

Prescription Auditing

A wrong prescription can be life-threatening. AI can help in prescription auditing. Some examples of a prescription audit by AI systems include alerting dose miscalculations, wrong drug selection and confusion over similarly named drugs, similar packaging.  Medication errors may be due to human errors, but it often results from a flawed system with inadequate backup to detect mistakes. 

Currently, AI, big data analytics and machine learning algorithms are used for analyzing large-scale Electronic Medical Records (EMRs) data and identifying how physicians treat patients in real-life scenarios. When a doctor is about to prescribe a medication that is way beyond the typical treatment pattern, the AI system can be designed to flag a potential error so that the physician could double-check.

Patient Triaging

Normally people tend to handle minor symptoms at home and visit the doctor only when the situation gets worse. Patient triaging is a method where medical professionals evaluate the degree of a patient’s emergency to prioritize time-sensitive treatments. Doctors rely on clinical judgment to identify high-priority patients which can be challenging. Over-triaging can happen when a doctor is unsure of an evaluation. This can lead to people being sent to intensive care treatment unnecessarily. Under-triaging can cost human lives and have irreversible negative consequences. In recent years, predictive analytic capabilities, AI models are proven to be more effective in automating the triaging process.  

Hospitals have adopted AI triage models to triage patients during Covid-19 crisis. Another example of artificial intelligence-based triage is the application of AI in triaging patients with acute abdominal pain. From predicting cardiac arrest risks to scanning the severity of incoming patients based on multiple clinical findings, the AI triage decision-making process is a critical life-saving innovation.

Genome Analysis

Understanding genes and their components have always been a frustrating experience for scientists. Unpacking the genome and predicting the impact of gene edits involves scrutinizing a lot of data. The use of AI and machine learning is removing the bottlenecks in this field. From analyzing the vast data in a single person’s DNA to comparing the genomes between a malignant and normal tissue, AI deep-learning and neural networks techniques are helping in automating the diagnosis of diseases including cancer. 

Robot-assisted Surgeries

According to DataBridge Market research, the Global surgical robots market is expected to reach USD 19,413.63 million by 2026. Robotic surgery or robot-assisted surgery has gained traction in the United States and Europe. Robots have helped doctors to perform complex procedures with precision and minimal invasiveness, less pain and blood loss. With a camera arm and mechanical arms of surgical instruments, a surgeon can control the robotic arms from a computer screen in the operation room. Robot-assisted surgeries are safe and more accurate as the camera sends out clear pictures of the surgical site for the surgeon to evaluate the process. From taking out brain tumours to total knee replacement, heart operations to spine surgeries, robots are well-suited for complex procedures as the robotic arms can perform repetitive movements without fatigue. 

Medical Imaging

In many countries, patients have to wait for days for a radiologist to assess a radiograph. AI-backed medical imaging machines can help in assessing, and diagnosing patients precisely in a faster way. AI medical imaging and cloud technology is a boon for researchers and doctors workers working in remote locations. The technology is especially useful in chest and brain imaging in detecting and diagnosing life-threatening diseases. Early detection of breast cancer is completely treatable but conventional mammogram screening misses out 1 in 5 cancer detection. Google’s AI powered Lymph Node Assistant (LYNA) claims to detect breast cancer metastasis with 99% accuracy which is commendable when compared to human pathologists who miss early detection 62% of the time. From analyzing full-body MRI scans to detecting skin cancer using photos of your skin. 

Drug discovery

Drug discovery research is the identification of medicines that can prevent or treat a disease. Traditional drug discovery methods work well for targets that have a well-defined structure and well-understood intracellular molecules. However, these methods do not work in the case of complex cellular interactions. AI in drug discovery uses complex algorithms and machine learning to detect the interactions between molecules and complex cellular pathway components. The AI advancements in drug discovery have helped Moderna to develop a COVID vaccine in record time.

Brand Building

As the healthcare industry shifts to a more technology-driven interaction with the patients, the opportunity to build relevance and personalized marketing. Artificial intelligence helps hospitals to create the most optimal marketing strategy for the brand. The data from social media platforms, blogs and other patient touchpoints can be used in analyzing consumer behaviour and search patterns. From market research to identifying target segments and offering personalized service, AI helps hospitals to gain competitive intelligence. Medication reminders and pharmacy refills can be automated to increase brand loyalty. Artificial intelligence empowers marketers to make data-driven decisions to improve customer journeys.

Process Automations

From the point of admission to discharge, patients go through a series of tedious and tiring processes. Hospitals can give a better patient experience by streamlining these processes. Automating the admission process can leave a lasting impression on the patient’s mind. Hospitals can also streamline ER operations and triage patients for emergency care with process automation. From automating Electronic Health Records (EHR) to staff boarding and roster management, the possibilities of process automation are endless.

Apart from these most popular AI use cases in healthcare, there are numerous possibilities in adopting this technology. If you are looking to create a custom machine learning or AI solution, feel free to contact us for a free quote.